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Analysing 4000+ soccer players’ playing styles using Convolutional Autoencoder and compressing player data from 2000 matches, using WYSCOUT open-source dataset, into a player vector called Player2Vec.

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Player2Vec: Characterize Soccer Players’ Playing Style

Analysing 4000+ soccer players’ playing styles using Convolutional Autoencoder and compressing player data from 2000 matches, using WYSCOUT open-source dataset, into a player vector called Player2Vec.

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Analysing 4000+ soccer players’ playing styles using Convolutional Autoencoder and compressing player data from 2000 matches, using WYSCOUT open-source dataset, into a player vector called Player2Vec.

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